Triple
T19990168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Distinguished Companion of the New Zealand Order of Merit |
E494038
|
entity |
| Predicate | conversionOfferedIn |
P138234
|
FINISHED |
| Object | 2009 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 2009 | Statement: [Distinguished Companion of the New Zealand Order of Merit, conversionOfferedIn, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionOfferedIn Context triple: [Distinguished Companion of the New Zealand Order of Merit, conversionOfferedIn, 2009]
-
A.
conversionTarget
Indicates that one entity serves as the intended outcome, goal, or result that another entity is meant to be converted or transformed into.
-
B.
convertedIn
Indicates that one entity has been transformed, changed, or translated into another form, state, or representation within a specified context.
-
C.
conversionUse
Indicates that one entity is used as a means, method, or context for converting another entity from one form, state, or representation to another.
-
D.
conversionIncluded
Indicates that a given conversion (e.g., unit, currency, or format change) is already accounted for or incorporated within another value, process, or context.
-
E.
conversionProgram
Indicates a program or process that transforms something from one form, state, or type into another.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fdecf108190a5b215fd25bc4dda |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 11, 2026, 3:30 p.m.